Machine Learning

Digital Phenotyping for Detecting Depression Severity in a Large Payor-Provider System: Retrospective Study of Speech and Language Model Performance

Bradley Karlin, Doug Henry, Ryan Anderson, Salvatore Cieri, Michael Aratow, Elizabeth Shriberg, Michelle Hoy

JMIR AI 2025 (Jun 19); 4:e69149

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The Use of Machine Learning for Analyzing Real-World Data in Disease Prediction and Management: Systematic Review

Norah Hamad Alhumaidi, Doni Dermawan, Hanin Farhana Kamaruzaman, Nasser Alotaiq

JMIR Med Inform 2025 (Jun 19); 13:e68898

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Development and Validation of a Predictive Model for Activities of Daily Living Dysfunction in Older Adults: Retrospective Analysis of Data From the China Health and Retirement Longitudinal Study

Fangbo Lin, Chao Liu, Hua Liu

JMIR Med Inform 2025 (Jun 19); 13:e73030

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Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study

Chengkun Sun, Erin Mobley, Michael Quillen, Max Parker, Meghan Daly, Rui Wang, Isabela Visintin, Ziad Awad, Jennifer Fishe, Alexander Parker, Thomas George, Jiang Bian, Jie Xu

JMIR Cancer 2025 (Jun 19); 11:e64506

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The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study

Calvin Howard, Amy Johnson, Joseph Peedicail, Marcus C Ng

J Med Internet Res 2025 (Jun 19); 27:e66735

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Sentiment Analysis Using a Large Language Model–Based Approach to Detect Opioids Mixed With Other Substances Via Social Media: Method Development and Validation

Muhammad Ahmad, Ildar Batyrshin, Grigori Sidorov

JMIR Infodemiology 2025 (Jun 19); 5:e70525

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Development of a Machine Learning–Based Predictive Model for Postoperative Delirium in Older Adult Intensive Care Unit Patients: Retrospective Study

Houfeng Li, Qinglai Zang, Qi Li, Yanchen Lin, Jintao Duan, Jing Huang, Huixiu Hu, Ying Zhang, Dengyun Xia, Miao Zhou

J Med Internet Res 2025 (Jun 19); 27:e67258

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Large Language Model Architectures in Health Care: Scoping Review of Research Perspectives

Florian Leiser, Richard Guse, Ali Sunyaev

J Med Internet Res 2025 (Jun 19); 27:e70315

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Changes in Epidemiological Characteristics of Varicella and Breakthrough Cases in Ningbo, China, From 2010 to 2023: Surveillance Study

Xingqiang Pan, Yan Zhang, Xuefei Zhao, Dandan Zhang

JMIR Public Health Surveill 2025 (Jun 18); 11:e71691

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Development of Machine Learning–Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts

Miaobing Zheng, Yuxin Zhang, Rachel A Laws, Peter Vuillermin, Jodie Dodd, Li Ming Wen, Louise A Baur, Rachael Taylor, Rebecca Byrne, Anne-Louise Ponsonby, Kylie D Hesketh

JMIR Public Health Surveill 2025 (Jun 18); 11:e69220

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Predictive Performance of Machine Learning for Suicide in Adolescents: Systematic Review and Meta-Analysis

Lingjiang Liu, Zhiyuan Li, Yaxin Hu, Chunyou Li, Shuhan He, Shibei Zhang, Jie Gao, Huaiyi Zhu, Guoping Huang

J Med Internet Res 2025 (Jun 16); 27:e73052

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Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study

Ting Peng, Rujia Miao, Hao Xiong, Yanhui Lin, Duzhen Fan, Jiayi Ren, Jiangang Wang, Yuan Li, Jianwen Chen

JMIR Med Inform 2025 (Jun 13); 13:e72238

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The Machine Learning Models in Major Cardiovascular Adverse Events Prediction Based on Coronary Computed Tomography Angiography: Systematic Review

Yuchen Ma, Mohan Li, Huiqun Wu

J Med Internet Res 2025 (Jun 13); 27:e68872

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Factors Associated With the Level of Trust in Health Information Robots Among the General Population From a Socioecological Model Perspective: Network Analysis

Jiukai Zhao, Yuqi Yang, Juanxia Miao, Xue Wang, Dianjun Qi, Shuang Zang

J Med Internet Res 2025 (Jun 13); 27:e68299

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Knowledge Graph–Enhanced Deep Learning Model (H-SYSTEM) for Hypertensive Intracerebral Hemorrhage: Model Development and Validation

Yulong Xia, Jie Li, Bo Deng, Qilin Huang, Fenglin Cai, Yanfeng Xie, Xiaochuan Sun, Quanhong Shi, Wei Dan, Yan Zhan, Li Jiang

J Med Internet Res 2025 (Jun 12); 27:e66055

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AI-Powered Drug Classification and Indication Mapping for Pharmacoepidemiologic Studies: Prompt Development and Validation

Benjamin Ogorek, Thomas Rhoads, Eric Finkelman, Isaac R Rodriguez-Chavez

JMIR AI 2025 (Jun 12); 4:e65481

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Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study

Charles A Kotula, Jennie Martin, Kyle A Carey, Dana P Edelson, Dmitriy Dligach, Anoop Mayampurath, Majid Afshar, Matthew M Churpek

J Med Internet Res 2025 (Jun 11); 27:e75340

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Using a Large Language Model for Breast Imaging Reporting and Data System Classification and Malignancy Prediction to Enhance Breast Ultrasound Diagnosis: Retrospective Study

Su Miaojiao, Liang Xia, Zeng Xian Tao, Hong Zhi Liang, Cheng Sheng, Wu Songsong

JMIR Med Inform 2025 (Jun 11); 13:e70924

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Next-Generation Sequencing–Based Testing Among Patients With Advanced or Metastatic Nonsquamous Non–Small Cell Lung Cancer in the United States: Predictive Modeling Using Machine Learning Methods

Alan James Michael Brnabic, Ilya Lipkovich, Zbigniew Kadziola, Dan He, Peter M Krein, Lisa M Hess

JMIR Cancer 2025 (Jun 11); 11:e64399

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Detecting Redundant Health Survey Questions by Using Language-Agnostic Bidirectional Encoder Representations From Transformers Sentence Embedding: Algorithm Development Study

Sunghoon Kang, Hyewon Park, Ricky Taira, Hyeoneui Kim

JMIR Med Inform 2025 (Jun 10); 13:e71687

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